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Dynamic mechanical analysis, flammability and quasi-static test on Kevlar/basalt-epoxy hybrid composite laminates

Title: Dynamic mechanical analysis, flammability and quasi-static test on Kevlar/basalt-epoxy hybrid composite laminates
Authors: Parekh, Ruval P; Rakesh, Ballina; Uttrani, Chakrala; Eekshit; Haginilaathan, Subramaniam; Jensin Joshua, J; Ganesh, M; Seralathan, S
Source: Journal of Physics: Conference Series ; volume 2837, issue 1, page 012025 ; ISSN 1742-6588 1742-6596
Publisher Information: IOP Publishing
Publication Year: 2024
Description: The composites made of Kevlar and basalt are studied individually. The experimental investigations aims to study the hybrid composites made from both materials. The present study examines the thermal as well as mechanical properties of the composites by conducting tests such as dynamic mechanical analysis (DMA), flammability (UL-94) and quasi-static tests on Kevlar, basalt, and Kevlar/basalt hybrid composites. The composite laminates are fabricated by hand-layup method and the results are compared to evaluate the thermal and mechanical properties. DMA test showed that Kevlar has a higher storage modulus, while basalt has a higher loss modulus. Quasi-static test showed basalt has the higher energy absorption capacity followed by the hybrid Kevlar/basalt composite. The hybrid Kevlar/basalt composite showed these values at par with pure Kevlar laminate. The flammability UL-94 test demonstrated that hybrid composite exhibited better flame retardancy properties. Based on the results, it is found that Kevlar/basalt hybrid composite is a better material for the applications of balanced mechanical properties with flame retardancy when compared to Kevlar or basalt individually.
Document Type: article in journal/newspaper
Language: unknown
DOI: 10.1088/1742-6596/2837/1/012025
DOI: 10.1088/1742-6596/2837/1/012025/pdf
Availability: https://doi.org/10.1088/1742-6596/2837/1/012025; https://iopscience.iop.org/article/10.1088/1742-6596/2837/1/012025; https://iopscience.iop.org/article/10.1088/1742-6596/2837/1/012025/pdf
Rights: https://creativecommons.org/licenses/by/4.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining
Accession Number: edsbas.CDA51F36
Database: BASE